Head to head · LLM inference · October 2026 research run
Gemini 4 Carbon vs Inkling 2 Small
Gemini 4 Carbon scores 62.6 (B) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 5 of 7 scored categories. Both do llm inference.
Best model APIs and inference for AI agents · All 1000 models comparisons
Which one, for what
Best for Agents on the hardest long tasks (multi-step debugging, large codebases, open-ended research, security work) that can pay frontier prices and already use the Gemini API.
Ahead on
- Reliability, 40 against 30
- Schema & documentation, 85 against 70
- Agent ergonomics, 93 against 62
- Maintenance & community, 83 against 75
- Transparency & trust, 72 against 64
Watch for
Paid tier only, with no free tier to try it on
Best for Developers who want a capable multimodal open-family model through an OpenAI-compatible API today, or to fine-tune it on Tinker, and who can live with a beta surface until the weights are published.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
Serverless inference and the OpenAI-compatible API are both labelled beta, with a waitlist for higher throughput
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Agent ergonomics Gemini 4 Carbon +31
Gemini 4 Carbon 93
Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling, with forced calls by FunctionCallingConfig on the API (20). Structured output (13 of 15). Implicit caching with durable caching on by default, cached input 95% off, explicit caches not supported, per the Cloud guide read on 10 November (15). 1,048,576 tokens shared between input and output (15). Batch at half price on the platform (10). Python and JavaScript SDKs (10). Error codes with backoff guidance (10 of 15). 20 + 13 + 15 + 15 + 10 + 10 + 10 = 93.
Inkling 2 Small 62
Model reading (tool use, structured output, caching, context, batch, SDKs). A 256K served context, max_tokens and a priced cache at $0.03 per million; tool use isn't documented for this model (15 of 25). Output-size controls through max_tokens, reasoning_effort and separate_reasoning (15 of 20). One documented error, the 400 for unsupported reasoning_effort (5 of 20). Stable request IDs make SDK sampling retries safe, per the tinker listing (15 of 20). OpenAI's SDKs work against the endpoint, with Tinker's Python SDK besides, and reasoning defaults to 0.9 (12 of 15). 15 + 15 + 5 + 15 + 12 = 62.
Schema & documentation Gemini 4 Carbon +15
Gemini 4 Carbon 85
Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Discovery document for GenerateContent (20 of 25). llms.txt with Markdown twins (10). The Cloud developer guide says what Carbon takes and refuses, the parameters that return 400 or are ignored, and how to migrate (15 of 20). Structured output to a JSON Schema with some keywords not enforced (10 of 15). Examples and an errors page (15). Dated changelog and model versions (15). 20 + 10 + 15 + 10 + 15 + 15 = 85.
Inkling 2 Small 70
Model reading. No OpenAPI file of its own; the OpenAI-compatible chat and completions endpoints and the typed Python SDK are the contract, as the tinker listing reads it (15). llms.txt on the docs host, per the tinker listing's 1 October check (10). The model card states intended use (agentic and tool-use systems, coding assistants, chatbots, RAG), inputs, outputs and limitations, and the launch post its benchmarks (16 of 20). Model IDs, context lengths and the reasoning_effort values (none to xhigh, or 0.0 to 0.99) are documented; the tool-call format and structured output aren't, for this model (8 of 15). A Python example and an HTTP 400 for models without reasoning_effort, with no error page (6 of 15). A dated Tinker changelog and a model deprecations page, per the tinker listing (15). 15 + 10 + 16 + 8 + 6 + 15 = 70.
Reliability Gemini 4 Carbon +10
Gemini 4 Carbon 40
Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Rate-limit tiers and spend limits published, per-model limits in AI Studio (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA (0). Carbon's launch stage isn't stated in Google's developer post, the Antigravity post or the Cloud developer guide read on 10 November, and the model ID carries no preview label, so half (5 of 10, a judgement call; Argon's GA earned the platform 10). 10 + 5 + 5 + 15 + 0 + 5 = 40.
Inkling 2 Small 30
Model reading, for the surface it's called on, Tinker's serverless inference and OpenAI-compatible API. No status page found, per the tinker listing's checks of 1 October and 4 November (0), so no readable incident history (5). The only published limit is the in-flight sample cap of 2,000, per the tinker listing's 1 October check; the OpenAI-compatible page gives no numbers and says higher or more stable throughput needs the waitlist (10). The SDK retries sampling with stable request IDs, per the tinker listing's reading of the SDK repository; the OpenAI-compatible page has no retry guidance (15). No SLA found (0). Serverless inference is 'currently in beta' on the models and pricing page and the OpenAI-compatible API is labelled Beta, read 6 November (0). 0 + 5 + 10 + 15 + 0 + 0 = 30.
Maintenance & community Gemini 4 Carbon +8
Gemini 4 Carbon 83
Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released to developers on 10 November 2026, with the platform's changelog (30). Deprecations with earliest dates and no stated minimum notice (4 of 12). Shutdowns in the last 90 days kept to their table (4 of 8). Dated changelog (15). SDK replies not sampled (5 of 10). Current SDKs (15). Runtimes stated (10). 30 + 4 + 4 + 15 + 5 + 15 + 10 = 83.
Inkling 2 Small 75
Model reading. Released 5 November 2026 (30). Churn and notice in place of release counts: Inkling, Inkling-Small (30 July) and Inkling 2 Small in about four months, and a deprecations page with dated retirements and a promise to 'aim to give advance notice' by email, with no stated period, per the tinker listing (10 of 20). A public changelog and a support address and Discord, per the tinker listing (10 of 15). Current official SDKs, Tinker's Python SDK and the OpenAI-compatible endpoint (15). SDK and cookbook CI, per the tinker listing (10). 30 + 10 + 10 + 15 + 10 = 75.
Transparency & trust Gemini 4 Carbon +8
Gemini 4 Carbon 72
Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). Paid-tier data isn't used, abuse retention has no number, and request storage is on by default for new paid projects (20 of 30). Deprecations table (15 of 20). Data may be cached anywhere Google has facilities; no subprocessor list checked (5 of 20). Every benchmark figure is Google's own. 15 + 20 + 15 + 5 = 55.
Inkling 2 Small 64
Editorial half. Closed for now under the Tinker Terms of Use and the Model Acceptable Use Policy, per the model card, with Apache 2.0 weights promised the week after launch (15). Terms commit not to use Customer Content for training, keep it only as needed, with a DPA and deletion on request; the privacy notice wasn't re-read, per the tinker listing (15). Dated deprecation notices with no stated period (15). The DPA annex names Google Cloud, Cloudflare, WorkOS and OpenAI with service and location (15). 15 + 15 + 15 + 15 = 60.
Score by category
| Category | Weight this run | Gemini 4 Carbon | Inkling 2 Small | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 40 | 30 | Gemini 4 Carbon +10 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 85 | 70 | Gemini 4 Carbon +15 |
| Agent ergonomics | 13%16.2 | 93 | 62 | Gemini 4 Carbon +31 |
| Security & auth | 14%17.5 | 55 | 57 | Inkling 2 Small +2 |
| Payments & pricing | 10%12.5 | 20 | 20 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 83 | 75 | Gemini 4 Carbon +8 |
| Transparency & trust | 7%8.8 | 72 | 64 | Gemini 4 Carbon +8 |
| Negative events | ≤15 | 0 | 0 | |
| Total | B 62.6/100 | D 52.1/100 |
Facts side by side
| Fact | Gemini 4 Carbon | Inkling 2 Small |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | Thinking Machines Lab | |
| Hosted endpoint | https://generativelanguage.googleapis.com/v1beta | https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1 |
| Transports | ||
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Closed model, used through the Gemini API and Google's apps under Google's terms | Proprietary for now, used through Tinker under the Tinker Terms of Use and Thinking Machines' Model Acceptable Use Policy, per the model card. Thinking Machines says it will publish the weights under Apache 2.0 the week after launch, once outside safety testing is done |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-11-10 | 2026-11-05 |
| Terms last updated | 2026-04-28 | not read yet |
| Privacy policy last updated | 2026-10-01 | not read yet |
| Customer content may train models | yes | not read yet |
| Terms restrict automated access | yes | not read yet |
| Terms restrict benchmarking | yes | not read yet |
| Terms or service can change without notice | not found in the text | not read yet |
| Arbitration or class-action waiver | not found in the text | not read yet |
Verdicts
Gemini 4 Carbon
Google's strongest model on the same Gemini API as Argon, with a 1M-token budget, function calling and structured output, at an introductory $2 and $10 per million tokens. Paid tier only, sampling parameters are ignored or refused, its launch stage isn't stated, and the price rises to $4 and $20 at a date Google hasn't given.
Inkling 2 Small
A new multimodal mixture-of-experts model from Thinking Machines, callable today through Tinker's OpenAI-compatible endpoint at $0.30 and $1.00 per million tokens, with strong vendor-reported coding and agent scores. Tinker's serverless inference is beta, with no status page or SLA, and the weights aren't public yet.
Before you call either
Gemini 4 Carbon
- Call generateContent at https://generativelanguage.googleapis.com/v1beta with model gemini-4-carbon and an x-goog-api-key on a billed project
- Set thinking_level (LOW, MEDIUM or HIGH) instead of thinking_budget, and don't send temperature, top_p or top_k
- Count output against the same 1,048,576-token limit as the input, and set max_output_tokens for long answers
- Put static prompt content first so implicit caching applies; explicit caches aren't supported
- Use gemini-4-argon for most coding and knowledge work, and Carbon for the hardest long tasks, as Google suggests
Inkling 2 Small
- Call https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1 with an OpenAI client and TINKER_API_KEY, using /chat/completions
- The serverless model ID is thinkingmachines/Inkling-2-Small:peft:262144:sampling-nvfp4, per Tinker's pricing page. The OpenAI page's examples use your own checkpoint paths, so confirm it before relying on it
- Pass reasoning_effort as none to xhigh or 0.0 to 0.99 (default 0.9); reasoning arrives in reasoning_content unless separate_reasoning is false
- Keep images between 40 and 4096 px a side, per the model card
- Validate JSON yourself, since structured output and the tool-call format aren't documented
- Plan for a move to open weights. When they publish, the open-weights listing will carry sizes and runtimes
Questions
Which is better for AI agents, Gemini 4 Carbon or Inkling 2 Small?
Gemini 4 Carbon scores 62.6 (B) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 5 of 7 scored categories.
Do Gemini 4 Carbon and Inkling 2 Small need an API key?
Both need an API key.
Can an agent call Gemini 4 Carbon and Inkling 2 Small without installing anything?
Yes. Gemini 4 Carbon has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and Inkling 2 Small at https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1.
Other comparisons with Gemini 4 Carbon or Inkling 2 Small
- Amazon Bedrock vs Gemini 4 Carbon
- Amazon Bedrock vs Inkling 2 Small
- Claude API vs Gemini 4 Carbon
- Claude API vs Inkling 2 Small
- Antseed vs Gemini 4 Carbon
- Antseed vs Inkling 2 Small
- Azure OpenAI in Foundry Models vs Gemini 4 Carbon
- Azure OpenAI in Foundry Models vs Inkling 2 Small
- BlockRun.AI vs Gemini 4 Carbon
- BlockRun.AI vs Inkling 2 Small
- Cerebras Inference vs Gemini 4 Carbon
- Cerebras Inference vs Inkling 2 Small
- Claude Fable 5.2 vs Gemini 4 Carbon
- Claude Fable 5.2 vs Inkling 2 Small
- Claude Mythos 5.2 vs Gemini 4 Carbon
- Claude Mythos 5.2 vs Inkling 2 Small
- Cloudflare AI Gateway vs Gemini 4 Carbon
- Cloudflare AI Gateway vs Inkling 2 Small
- Cloudflare Workers AI vs Gemini 4 Carbon
- Cloudflare Workers AI vs Inkling 2 Small
- Cohere Chat API (Command models) vs Gemini 4 Carbon
- Cohere Chat API (Command models) vs Inkling 2 Small
- DeepInfra vs Gemini 4 Carbon
- DeepInfra vs Inkling 2 Small
- DeepSeek API vs Gemini 4 Carbon
- DeepSeek API vs Inkling 2 Small
- Eden AI vs Gemini 4 Carbon
- Eden AI vs Inkling 2 Small
- Glimpse vs Gemini 4 Carbon
- Glimpse vs Inkling 2 Small
- Fireworks AI Inference vs Gemini 4 Carbon
- Fireworks AI Inference vs Inkling 2 Small
- Gemini 4 Carbon vs Gemini Developer API
- Gemini 4 Carbon vs GroqCloud
- Gemini 4 Carbon vs Hugging Face Inference Providers
- Gemini 4 Carbon vs Jais 3
- Gemini 4 Carbon vs Meta Model API
- Gemini 4 Carbon vs MiniMax API
- Gemini 4 Carbon vs Mistral AI API
- Gemini 4 Carbon vs Muse Ember
- Gemini 4 Carbon vs Muse Spark Open
- Gemini 4 Carbon vs Nemotron 3.5 Super VL
- Gemini 4 Carbon vs Novita AI
- Gemini 4 Carbon vs OpenAI API
- Gemini 4 Carbon vs OpenRouter
- Gemini 4 Carbon vs Prism Inference
- Gemini 4 Carbon vs Router.com (Ramp Router)
- Gemini 4 Carbon vs Beam 1.0
- Gemini 4 Carbon vs RouterPlus
- Gemini 4 Carbon vs SambaCloud
- Gemini 4 Carbon vs SiliconFlow
- Gemini 4 Carbon vs Simplismart
- Gemini 4 Carbon vs StepFun API
- Gemini 4 Carbon vs SWE-2 Flash
- Gemini 4 Carbon vs Tencent Cloud TokenHub
- Gemini 4 Carbon vs Together AI Inference
- Gemini 4 Carbon vs Vercel AI Gateway
- Gemini 4 Carbon vs Vertex AI (Gemini Enterprise Agent Platform)
- Gemini 4 Carbon vs xAI API (Grok)
- Gemini Developer API vs Inkling 2 Small
- GroqCloud vs Inkling 2 Small
- Hugging Face Inference Providers vs Inkling 2 Small
- Inkling 2 Small vs Jais 3
- Inkling 2 Small vs Meta Model API
- Inkling 2 Small vs MiniMax API
- Inkling 2 Small vs Mistral AI API
- Inkling 2 Small vs Muse Ember
- Inkling 2 Small vs Muse Spark Open
- Inkling 2 Small vs Nemotron 3.5 Super VL
- Inkling 2 Small vs Novita AI
- Inkling 2 Small vs OpenAI API
- Inkling 2 Small vs OpenRouter
- Inkling 2 Small vs Prism Inference
- Inkling 2 Small vs Router.com (Ramp Router)
- Inkling 2 Small vs Beam 1.0
- Inkling 2 Small vs RouterPlus
- Inkling 2 Small vs SambaCloud
- Inkling 2 Small vs SiliconFlow
- Inkling 2 Small vs Simplismart
- Inkling 2 Small vs StepFun API
- Inkling 2 Small vs SWE-2 Flash
- Inkling 2 Small vs Tencent Cloud TokenHub
- Inkling 2 Small vs Together AI Inference
- Inkling 2 Small vs Vercel AI Gateway
- Inkling 2 Small vs Vertex AI (Gemini Enterprise Agent Platform)
- Inkling 2 Small vs xAI API (Grok)
Machine-readable
- This page as Markdown
/compare/gemini-4-carbon-vs-inkling-2-small.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/gemini-4-carbon.json·/api/v1/tools/inkling-2-small.json - From a terminal
anchor compare gemini-4-carbon inkling-2-small(the CLI) - Over MCP
compare_tools {"a": "gemini-4-carbon", "b": "inkling-2-small"}at/mcp, no key